Faqing Tang

816 total citations
24 papers, 553 citations indexed

About

Faqing Tang is a scholar working on Molecular Biology, Cancer Research and Pharmacology. According to data from OpenAlex, Faqing Tang has authored 24 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Cancer Research and 5 papers in Pharmacology. Recurrent topics in Faqing Tang's work include RNA modifications and cancer (8 papers), Cancer-related molecular mechanisms research (5 papers) and Berberine and alkaloids research (3 papers). Faqing Tang is often cited by papers focused on RNA modifications and cancer (8 papers), Cancer-related molecular mechanisms research (5 papers) and Berberine and alkaloids research (3 papers). Faqing Tang collaborates with scholars based in China, Saudi Arabia and United States. Faqing Tang's co-authors include Jinping Lu, Gongjun Tan, Zhengke Peng, Yuan Tan, Yuejin Li, Hongyu Deng, Zhiwei He, Mengna Li, Shipeng Chen and Wei Xiong and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Molecular Cancer.

In The Last Decade

Faqing Tang

24 papers receiving 546 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Faqing Tang China	12	351	179	96	65	51	24	553
Niedzwiecki	7	211 0.6×	146 0.8×	115 1.2×	32 0.5×	52 1.0×	8	450
Argha Manna India	10	363 1.0×	150 0.8×	220 2.3×	36 0.6×	42 0.8×	13	589
Michał Kuliński Qatar	16	415 1.2×	167 0.9×	134 1.4×	37 0.6×	53 1.0×	19	624
Valentina Pileczki Romania	15	414 1.2×	267 1.5×	125 1.3×	27 0.4×	64 1.3×	27	666
Chuanke Zhao China	14	364 1.0×	114 0.6×	117 1.2×	29 0.4×	29 0.6×	38	578
Aniruddha Banerji India	10	208 0.6×	166 0.9×	124 1.3×	29 0.4×	52 1.0×	19	459
Poulami Khan India	11	334 1.0×	143 0.8×	210 2.2×	38 0.6×	38 0.7×	15	542
Tessy Thomas Maliekal India	14	506 1.4×	234 1.3×	210 2.2×	29 0.4×	55 1.1×	25	760

Countries citing papers authored by Faqing Tang

Since Specialization

Citations

This map shows the geographic impact of Faqing Tang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Faqing Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Faqing Tang more than expected).

Fields of papers citing papers by Faqing Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Faqing Tang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Faqing Tang. The network helps show where Faqing Tang may publish in the future.

Co-authorship network of co-authors of Faqing Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Faqing Tang. A scholar is included among the top collaborators of Faqing Tang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Faqing Tang. Faqing Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Chen, Shipeng, Mengna Li, Yumei Duan, et al.. (2024). Validation of Core Ingredients and Molecular Mechanism of Cinobufotalin Injection Against Liver Cancer. Drug Design Development and Therapy. Volume 18. 1321–1338. 2 indexed citations

Wei, Qingqing, Mengna Li, Shipeng Chen, et al.. (2024). Ferroptosis: a critical mechanism of N6-methyladenosine modification involved in carcinogenesis and tumor progression. Science China Life Sciences. 67(6). 1119–1132. 9 indexed citations

Tan, Yuan, et al.. (2023). JUN-induced super-enhancer RNA forms R-loop to promote nasopharyngeal carcinoma metastasis. Cell Death and Disease. 14(7). 459–459. 12 indexed citations

Zhao, Deze, et al.. (2023). tRNA Modifications and Modifying Enzymes in Disease, the Potential Therapeutic Targets. International Journal of Biological Sciences. 19(4). 1146–1162. 25 indexed citations

Duan, Yumei, Mengna Li, Shipeng Chen, et al.. (2023). Deciphering the vital roles and mechanism of m5C modification on RNA in cancers.. PubMed. 13(12). 6125–6146. 18 indexed citations

Yao, Wu, et al.. (2023). Carcinogen-induced super-enhancer RNA promotes nasopharyngeal carcinoma metastasis through NPM1/c-Myc/NDRG1 axis.. PubMed. 13(8). 3781–3798. 3 indexed citations

Li, Mengna, Yukun Liu, Yumei Duan, et al.. (2023). BRD7 inhibits enhancer activity and expression of BIRC2 to suppress tumor growth and metastasis in nasopharyngeal carcinoma. Cell Death and Disease. 14(2). 121–121. 14 indexed citations

Li, Mengna, Shipeng Chen, Yumei Duan, et al.. (2023). NOP2/Sun RNA methyltransferase 2 is a potential pan-cancer prognostic biomarker and is related to immunity. PLoS ONE. 18(9). e0292212–e0292212. 8 indexed citations

Li, Mengna, Shipeng Chen, Hongyu Deng, et al.. (2023). Understanding the roles and regulation patterns of circRNA on its host gene in tumorigenesis and tumor progression. Journal of Experimental & Clinical Cancer Research. 42(1). 86–86. 56 indexed citations

10.

Deng, Hongyu, Faqing Tang, Ming Zhou, et al.. (2022). Identification and Validation of N6-Methyladenosine-Related Biomarkers for Bladder Cancer: Implications for Immunotherapy. Frontiers in Oncology. 12. 820242–820242. 7 indexed citations

11.

Tan, Yuan, et al.. (2022). A novel oncogenic seRNA promotes nasopharyngeal carcinoma metastasis. Cell Death and Disease. 13(4). 401–401. 7 indexed citations

12.

Huang, Yumei, et al.. (2022). Integrated analysis of bulk and single-cell RNA sequencing reveals the interaction of PKP1 and tumor-infiltrating B cells and their therapeutic potential for nasopharyngeal carcinoma. Frontiers in Genetics. 13. 935749–935749. 4 indexed citations

13.

Tan, Yuan, Yuejin Li, & Faqing Tang. (2020). Oncogenic seRNA functional activation: a novel mechanism of tumorigenesis. Molecular Cancer. 19(1). 74–74. 24 indexed citations

14.

Cai, Yongqiang, Jinping Lu, & Faqing Tang. (2018). Overexpression of MICAL2, a novel tumor-promoting factor, accelerates tumor progression through regulating cell proliferation and EMT. Journal of Cancer. 9(3). 521–527. 28 indexed citations

15.

Tan, Gongjun, Zhengke Peng, Jinping Lu, & Faqing Tang. (2013). Cathepsins mediate tumor metastasis. World Journal of Biological Chemistry. 4(4). 91–91. 150 indexed citations

16.

Huang, Damao, Weiwei Wang, Feng Zhu, et al.. (2011). Berberine inhibits the invasion and metastasis of nasopharyngeal carcinoma cells through Ezrin phosphorylation.. PubMed. 36(7). 616–23. 5 indexed citations

17.

Tang, Faqing, Dongsheng Wang, Chaojun Duan, et al.. (2009). Berberine Inhibits Metastasis of Nasopharyngeal Carcinoma 5-8F Cells by Targeting Rho Kinase-mediated Ezrin Phosphorylation at Threonine 567. Journal of Biological Chemistry. 284(40). 27456–27466. 67 indexed citations

18.

Wang, Dongsheng, et al.. (2009). Preparation and drug releasing property of magnetic chitosan-5-fluorouracil nano-particles. Transactions of Nonferrous Metals Society of China. 19(5). 1232–1236. 21 indexed citations

19.

He, Zhiwei, Faqing Tang, Svetlana P. Ermakova, et al.. (2007). Fyn is a novel target of (−)‐epigallocatechin gallate in the inhibition of JB6 Cl41 cell transformation. Molecular Carcinogenesis. 47(3). 172–183. 67 indexed citations

20.

Fan, Xuegong, Yan Huang, Faqing Tang, & Hong Yi. (2000). Telomerase activity of peripheral blood lymphocytes in patients with chronic hepatitis B. Immunology Letters. 73(1). 7–11. 15 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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